Rapid Differentiation of Commercial Juices and Blends by Using Sugar Profiles Obtained by Capillary Zone Electrophoresis with Indirect UV Detection

A method for the determination of sugars in several fruit juices and nectars by capillary zone electrophoresis with indirect UV–vis detection has been developed. Under optimal conditions, commercial fruit juices and nectars from several fruits were analyzed, and the sugar and cyclamate contents were quantified in less than 6 min. A study for the detection of blends of high-value juices (orange and pineapple) with cheaper alternatives was also developed. For this purpose, different chemometric techniques, based on sugar content ratios, were applied. Linear discriminant analysis showed that fruit juices can be distinguished according to the fruit type, juice blends also being differentiated. Multiple linear regression models were also constructed to predict the adulteration of orange and pineapple juices with grape juice. This simple and reliable methodology provides a rapid analysis of fruit juices of economic importance, which is relevant for quality control purposes in food industries and regulatory agencies

New In-Depth Analytical Approach of the Porcine Seminal Plasma Proteome Reveals Potential Fertility Biomarkers

A complete characterization of the proteome of seminal plasma (SP) is an essential step to understand how SP influences sperm function and fertility after artificial insemination (AI). The purpose of this study was to identify which among characterized proteins in boar SP were differently expressed among AI boars with significantly different fertility outcomes. A total of 872 SP proteins, 390 of them belonging specifically to <i>Sus Scrofa</i> taxonomy, were identified (Experiment 1) by using a novel proteomic approach that combined size exclusion chromatography and solid-phase extraction as prefractionation steps prior to Nano LC–ESI–MS/MS analysis. The SP proteomes of 26 boars showing significant differences in farrowing rate (<i>n</i> = 13) and litter size (<i>n</i> = 13) after the AI of 10 526 sows were further analyzed (Experiment 2). A total of 679 SP proteins were then quantified by the SWATH approach, where the penalized linear regression LASSO revealed differentially expressed SP proteins for farrowing rate (FURIN, AKR1B1, UBA1, PIN1, SPAM1, BLMH, SMPDL3A, KRT17, KRT10, TTC23, and AGT) and litter size (PN-1, THBS1, DSC1, and CAT). This study extended our knowledge of the SP proteome and revealed some SP proteins as potential biomarkers of fertility in AI boars